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Gobert N. Lee
Gobert N. Lee
College of Science and Engineering, Flinders University
Zweryfikowany adres z flinders.edu.au - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Computer-aided diagnosis: The emerging of three CAD systems induced by Japanese health care needs
H Fujita, Y Uchiyama, T Nakagawa, D Fukuoka, Y Hatanaka, T Hara, ...
Computer methods and programs in biomedicine 92 (3), 238-248, 2008
1622008
Spatial shape constrained fuzzy c-means (FCM) clustering for nucleus segmentation in pap smear images
R Saha, M Bajger, G Lee
2016 international conference on digital image computing: techniques and …, 2016
442016
K-means clustering for classifying unlabelled MRI data
GN Lee, H Fujita
9th Biennial Conference of the Australian Pattern Recognition Society on …, 2007
262007
Circular shape constrained fuzzy clustering (CiscFC) for nucleus segmentation in Pap smear images
R Saha, M Bajger, G Lee
Computers in Biology and Medicine 85, 13-23, 2017
252017
Segmentation of breast masses in local dense background using adaptive clip limit-CLAHE
S Sajeev, M Bajger, G Lee
2015 International Conference on Digital Image Computing: Techniques and …, 2015
192015
Automated segmentation of mammary gland regions in non-contrast X-ray CT images
X Zhou, M Han, T Hara, H Fujita, K Sugisaki, H Chen, G Lee, R Yokoyama, ...
Computerized Medical Imaging and Graphics 32 (8), 699-709, 2008
192008
Automated analysis of breast parenchymal patterns in whole breast ultrasound images: preliminary experience
Y Ikedo, T Morita, D Fukuoka, T Hara, G Lee, H Fujita, E Takada, T Endo
International journal of computer assisted radiology and surgery 4, 299-306, 2009
172009
Segmentation of liver region with tumorous tissues
X Zhang, G Lee, T Tajima, T Kitagawa, M Kanematsu, X Zhou, T Hara, ...
Medical Imaging 2007: Image Processing 6512, 1070-1078, 2007
172007
State-of-the-art of computer-aided detection/diagnosis (CAD)
H Fujita, J You, Q Li, H Arimura, R Tanaka, S Sanada, N Niki, G Lee, ...
Medical Biometrics: Second International Conference, ICMB 2010, Hong Kong …, 2010
162010
Automatic image feature extraction for diagnosis and prognosis of breast cancer
MJ Bottema, GN Lee, S Lu
Artificial Intelligence Techniques In Breast Cancer Diagnosis And Prognosis …, 2000
162000
3D segmentation for multi-organs in CT images
M Bajger, G Lee, M Caon
ELCVIA: electronic letters on computer vision and image analysis 12 (2), 13-27, 2013
142013
Computer-assisted segmentation of CT images by statistical region merging for the production of voxel models of anatomy for CT dosimetry
M Caon, J Sedlář, M Bajger, G Lee
Australasian Physical & Engineering Sciences in Medicine 37, 393-403, 2014
122014
Multi-organ segmentation of CT images using statistical region merging
G Lee, M Bajger, M Caon
Biomedical Engineering (BioMed 2012): Proc. of the IASTED International …, 2012
122012
Segmentation of cervical nuclei using SLIC and pairwise regional contrast
R Saha, M Bajger, G Lee
2018 40th Annual international conference of the IEEE Engineering in …, 2018
102018
Classification of benign and malignant masses in ultrasound breast image based on geometric and echo features
GN Lee, D Fukuoka, Y Ikedo, T Hara, H Fujita, E Takada, T Endo, T Morita
Digital Mammography: 9th International Workshop, IWDM 2008 Tucson, AZ, USA …, 2008
102008
SRM superpixel merging framework for precise segmentation of cervical nucleus
R Saha, M Bajger, G Lee
2019 Digital Image Computing: Techniques and Applications (DICTA), 1-8, 2019
92019
Prior guided segmentation and nuclei feature based abnormality detection in cervical cells
R Saha, M Bajger, G Lee
2019 IEEE 19th international conference on bioinformatics and bioengineering …, 2019
82019
Deep learning and color variability in breast cancer histopathological images: a preliminary study
G Lee, M Bajger, K Clark
14th International Workshop on Breast Imaging (IWBI 2018) 10718, 370-375, 2018
82018
Unsupervised classification of cirrhotic livers using MRI data
G Lee, M Kanematsu, H Kato, H Kondo, X Zhou, T Hara, H Fujita, H Hoshi
Medical Imaging 2008: Computer-Aided Diagnosis 6915, 354-362, 2008
82008
Classifying masses as benign or malignant based on co-occurrence matrix textures: a comparison study of different gray level quantizations
GN Lee, T Hara, H Fujita
International Workshop on Digital Mammography, 332-339, 2006
82006
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